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The Unusual Effectiveness of Averaging in GAN Training

The Unusual Effectiveness of Averaging in GAN Training

12 June 2018
Yasin Yazici
Chuan-Sheng Foo
Stefan Winkler
Kim-Hui Yap
Georgios Piliouras
V. Chandrasekhar
ArXivPDFHTML

Papers citing "The Unusual Effectiveness of Averaging in GAN Training"

29 / 29 papers shown
Title
Data Cleansing for GANs
Data Cleansing for GANs
Naoyuki Terashita
Hiroki Ohashi
Satoshi Hara
AAML
56
0
0
01 Apr 2025
Towards Identifiable Unsupervised Domain Translation: A Diversified
  Distribution Matching Approach
Towards Identifiable Unsupervised Domain Translation: A Diversified Distribution Matching Approach
Sagar Shrestha
Xiao Fu
23
3
0
18 Jan 2024
Analyzing and Improving the Training Dynamics of Diffusion Models
Analyzing and Improving the Training Dynamics of Diffusion Models
Tero Karras
M. Aittala
J. Lehtinen
Janne Hellsten
Timo Aila
S. Laine
28
155
0
05 Dec 2023
CellGAN: Conditional Cervical Cell Synthesis for Augmenting
  Cytopathological Image Classification
CellGAN: Conditional Cervical Cell Synthesis for Augmenting Cytopathological Image Classification
Zhenrong Shen
Mao-Hong Cao
Sheng Wang
Lichi Zhang
Qian Wang
MedIm
15
7
0
12 Jul 2023
Exploiting Unlabelled Photos for Stronger Fine-Grained SBIR
Exploiting Unlabelled Photos for Stronger Fine-Grained SBIR
Aneeshan Sain
A. Bhunia
Subhadeep Koley
Pinaki Nath Chowdhury
Soumitri Chattopadhyay
Tao Xiang
Yi-Zhe Song
20
18
0
24 Mar 2023
Balanced Training for Sparse GANs
Balanced Training for Sparse GANs
Yite Wang
Jing Wu
N. Hovakimyan
Ruoyu Sun
34
9
0
28 Feb 2023
Multi-scale Feature Alignment for Continual Learning of Unlabeled
  Domains
Multi-scale Feature Alignment for Continual Learning of Unlabeled Domains
Kevin Thandiackal
Luigi Piccinelli
Pushpak Pati
O. Goksel
CLL
OOD
MedIm
32
7
0
02 Feb 2023
Generative appearance replay for continual unsupervised domain
  adaptation
Generative appearance replay for continual unsupervised domain adaptation
Boqi Chen
Kevin Thandiackal
Pushpak Pati
O. Goksel
CLL
MedIm
29
11
0
03 Jan 2023
DigGAN: Discriminator gradIent Gap Regularization for GAN Training with
  Limited Data
DigGAN: Discriminator gradIent Gap Regularization for GAN Training with Limited Data
Tiantian Fang
Ruoyu Sun
A. Schwing
GAN
22
16
0
27 Nov 2022
Robust One-Shot Singing Voice Conversion
Robust One-Shot Singing Voice Conversion
Naoya Takahashi
M. Singh
Yuki Mitsufuji
DiffM
15
8
0
20 Oct 2022
Collecting The Puzzle Pieces: Disentangled Self-Driven Human Pose
  Transfer by Permuting Textures
Collecting The Puzzle Pieces: Disentangled Self-Driven Human Pose Transfer by Permuting Textures
Nannan Li
Kevin J. Shih
Bryan A. Plummer
29
7
0
04 Oct 2022
Don't Be So Dense: Sparse-to-Sparse GAN Training Without Sacrificing
  Performance
Don't Be So Dense: Sparse-to-Sparse GAN Training Without Sacrificing Performance
Shiwei Liu
Yuesong Tian
Tianlong Chen
Li Shen
34
8
0
05 Mar 2022
Multimodal Adversarially Learned Inference with Factorized
  Discriminators
Multimodal Adversarially Learned Inference with Factorized Discriminators
Wenxue Chen
Jianke Zhu
43
3
0
20 Dec 2021
Rebooting ACGAN: Auxiliary Classifier GANs with Stable Training
Rebooting ACGAN: Auxiliary Classifier GANs with Stable Training
Minguk Kang
Woohyeon Shim
Minsu Cho
Jaesik Park
GAN
30
107
0
01 Nov 2021
Disentangled Lifespan Face Synthesis
Disentangled Lifespan Face Synthesis
Sen He
Wentong Liao
M. Yang
Yi-Zhe Song
Bodo Rosenhahn
Tao Xiang
CVBM
31
28
0
05 Aug 2021
Iterative Methods for Private Synthetic Data: Unifying Framework and New
  Methods
Iterative Methods for Private Synthetic Data: Unifying Framework and New Methods
Terrance Liu
G. Vietri
Zhiwei Steven Wu
SyDa
11
61
0
14 Jun 2021
Generative Feature-driven Image Replay for Continual Learning
Generative Feature-driven Image Replay for Continual Learning
Kevin Thandiackal
Tiziano Portenier
Andrea Giovannini
M. Gabrani
O. Goksel
CLL
VLM
DiffM
13
9
0
09 Jun 2021
Efficient and Accurate Gradients for Neural SDEs
Efficient and Accurate Gradients for Neural SDEs
Patrick Kidger
James Foster
Xuechen Li
Terry Lyons
DiffM
24
60
0
27 May 2021
MR-Contrast-Aware Image-to-Image Translations with Generative
  Adversarial Networks
MR-Contrast-Aware Image-to-Image Translations with Generative Adversarial Networks
Jonas Denck
J. Guehring
Andreas K. Maier
E. Rothgang
GAN
MedIm
24
26
0
03 Apr 2021
GIRAFFE: Representing Scenes as Compositional Generative Neural Feature
  Fields
GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields
Michael Niemeyer
Andreas Geiger
OCL
51
955
0
24 Nov 2020
Intrinsic Image Decomposition using Paradigms
Intrinsic Image Decomposition using Paradigms
David A. Forsyth
Jason Rock
25
24
0
20 Nov 2020
SLGAN: Style- and Latent-guided Generative Adversarial Network for
  Desirable Makeup Transfer and Removal
SLGAN: Style- and Latent-guided Generative Adversarial Network for Desirable Makeup Transfer and Removal
Daichi Horita
Kiyoharu Aizawa
GAN
16
8
0
16 Sep 2020
Empirical Analysis of Overfitting and Mode Drop in GAN Training
Empirical Analysis of Overfitting and Mode Drop in GAN Training
Yasin Yazici
Chuan-Sheng Foo
Stefan Winkler
Kim-Hui Yap
V. Chandrasekhar
24
29
0
25 Jun 2020
Convolutional Generation of Textured 3D Meshes
Convolutional Generation of Textured 3D Meshes
Dario Pavllo
Graham Spinks
Thomas Hofmann
Marie-Francine Moens
Aurélien Lucchi
19
62
0
13 Jun 2020
On Data Augmentation for GAN Training
On Data Augmentation for GAN Training
Ngoc-Trung Tran
Viet-Hung Tran
Ngoc-Bao Nguyen
Trung-Kien Nguyen
Ngai-man Cheung
MedIm
18
35
0
09 Jun 2020
Few-shot Compositional Font Generation with Dual Memory
Few-shot Compositional Font Generation with Dual Memory
Junbum Cha
Sanghyuk Chun
Gayoung Lee
Bado Lee
Seonghyeon Kim
Hwalsuk Lee
11
76
0
21 May 2020
Lookahead Optimizer: k steps forward, 1 step back
Lookahead Optimizer: k steps forward, 1 step back
Michael Ruogu Zhang
James Lucas
Geoffrey E. Hinton
Jimmy Ba
ODL
16
717
0
19 Jul 2019
ODE Analysis of Stochastic Gradient Methods with Optimism and Anchoring
  for Minimax Problems
ODE Analysis of Stochastic Gradient Methods with Optimism and Anchoring for Minimax Problems
Ernest K. Ryu
Kun Yuan
W. Yin
14
36
0
26 May 2019
Which Training Methods for GANs do actually Converge?
Which Training Methods for GANs do actually Converge?
L. Mescheder
Andreas Geiger
Sebastian Nowozin
30
1,452
0
13 Jan 2018
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